Estimation of Permanent Magnet Demagnetization Using MRAS with no Sensitivity to Winding Resistance of IPM Motor

Faiz Husnayain, Toshihiko Noguchi, Kiyohiro Iwama, Budi Sudiarto, Feri Yusivar

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Accurate parameter estimation is crucial for the optimal operation and control of interior permanent magnet (IPM) motors. This study proposes a parameter identification technique for permanent magnet (PM) flux linkage utilizing a hybrid approach, combining a finite element method (FEM)-based 3D-Inductance map and a model reference adaptive system (MRAS) based on instantaneous reactive power. Considering the cross-coupling effect, the objective is to improve the control output performance by reducing transient response errors and conducting PM flux linkage identification under magnetic saturation. The proposed parameter estimation method is robust and fast to adapt to dynamic motor operation and, simultaneously, online and able to determine the PM flux linkage. The FEM-based map provides a comprehensive model of the IPM motor by considering the spatial variation of inductances across the motor cross-section. The MRAS utilizes the reactive power component of the motor to estimate the PM flux linkage by comparing the measured and estimated instantaneous reactive power. By comparing the output of the reference model with the actual motor response, the MRAS algorithm adapts the estimated parameters to minimize the error between the two. This study proposed the reactive power component as it has no sensitivity with resistance. So, the impact of motor operation, which lead to heat production and variation of winding resistance, will not affect the proposed method. As a result, the parameter mismatches due to PM demagnetization and magnetic saturation are significantly reduced.

Original languageEnglish
Title of host publicationITEC Asia-Pacific 2023 - 2023 IEEE Transportation Electrification Conference and Expo, Asia-Pacific
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350314274
DOIs
Publication statusPublished - 2023
Event2023 IEEE Transportation Electrification Conference and Expo, Asia-Pacific, ITEC Asia-Pacific 2023 - Chiang Mai, Thailand
Duration: 28 Nov 20231 Dec 2023

Publication series

NameITEC Asia-Pacific 2023 - 2023 IEEE Transportation Electrification Conference and Expo, Asia-Pacific

Conference

Conference2023 IEEE Transportation Electrification Conference and Expo, Asia-Pacific, ITEC Asia-Pacific 2023
Country/TerritoryThailand
CityChiang Mai
Period28/11/231/12/23

Keywords

  • IPM motor
  • magnetic saturation
  • MRAS
  • no resistance sensitivity
  • parameter estimation
  • PM demagnetization

Fingerprint

Dive into the research topics of 'Estimation of Permanent Magnet Demagnetization Using MRAS with no Sensitivity to Winding Resistance of IPM Motor'. Together they form a unique fingerprint.

Cite this